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Can Inpatient Hospital Experiences Predict Central Line-Associated Bloodstream Infections?

Overview of attention for article published in PLOS ONE, April 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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22 X users
facebook
2 Facebook pages

Citations

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28 Dimensions

Readers on

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49 Mendeley
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Title
Can Inpatient Hospital Experiences Predict Central Line-Associated Bloodstream Infections?
Published in
PLOS ONE, April 2013
DOI 10.1371/journal.pone.0061097
Pubmed ID
Authors

Daniel M. Saman, Kevin T. Kavanagh, Brian Johnson, M. Nawal Lutfiyya

Abstract

Factors that increase the risk of central line-associated bloodstream infections (CLABSIs) are not fully understood. Recently, Hospital Compare began compiling data from hospital-required reporting to the CDC's National Healthcare Safety Network on CLABSIs in intensive care units (ICUs), at over 4,000 Medicare-certified hospitals in the United States, and made this data accessible on a central website. Also available on the same website are results from the Hospital Consumer Assessment of Healthcare Providers and Systems survey of patients' hospital experiences. Utilizing both databases, our objective was to determine whether patients' hospital experiences were significantly associated with increased risk for reported ICU CLABSI.

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Unknown 47 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 14%
Student > Ph. D. Student 6 12%
Student > Master 6 12%
Student > Bachelor 4 8%
Student > Doctoral Student 3 6%
Other 14 29%
Unknown 9 18%
Readers by discipline Count As %
Medicine and Dentistry 17 35%
Nursing and Health Professions 14 29%
Business, Management and Accounting 4 8%
Psychology 2 4%
Economics, Econometrics and Finance 1 2%
Other 3 6%
Unknown 8 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 April 2013.
All research outputs
#2,140,669
of 24,230,934 outputs
Outputs from PLOS ONE
#26,772
of 208,503 outputs
Outputs of similar age
#17,637
of 203,330 outputs
Outputs of similar age from PLOS ONE
#625
of 5,282 outputs
Altmetric has tracked 24,230,934 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 208,503 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 203,330 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 5,282 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.